Python 3
for programmers
Schedule
- Motivation for learning and using Python
- Skim through the Python basics
- Overview of more advanced Python features
- Debugging Python code
- Installing 3rd party Python packages
- Collaborate on a Python project
So why should I use Python?
- free
- rising
- mature
- readable
- high-level
- documented
- general-purpose
Python has a huge set of
well-maintained libraries
which simplify complex projects massively
The Zen of Python
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one -- and preferably only one -- obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!
Boot your notebooks
Slides
Where do I
start?
There is an official tutorial!
The Python documentation is awesome!
...but let's take a look at it together!
Interactive interpreter
Python is an interpreted language.
The interpreter comes with an interative mode.
...we need to discuss
the Python syntax
Let's start with the informal introduction
...then take a closer look at more flow control tools.
Slightly
more advanced
Python features
Generators
Build complex iterables using generators.
Python comes with
Comprehensions
for commonly used data structures like
lists, dicts and sets.
Classes
Describe your own object types using classes.
Context manager
Setup and tear down a context using context managers.
Debugging
Python code
Python debugger
Debug your code using the Python debugger.
Introspection
Inspect live objects using the inspect module.
There is a
Python package
for (almost) everything
Install 3rd party packages
Creating environments for
Isolating
Applications
Virtual environments
Run your applications in clean Python virtual environments.
Developing a
Python package
Python packages
Create your own Python packages like a pro.
Script entry point
Define your application's entry point with __main__.